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KDD
2004
ACM
160views Data Mining» more  KDD 2004»
16 years 2 days ago
k-TTP: a new privacy model for large-scale distributed environments
Secure multiparty computation allows parties to jointly compute a function of their private inputs without revealing anything but the output. Theoretical results [2] provide a gen...
Bobi Gilburd, Assaf Schuster, Ran Wolff
HPDC
2012
IEEE
13 years 2 months ago
VNET/P: bridging the cloud and high performance computing through fast overlay networking
networking with a layer 2 abstraction provides a powerful model for virtualized wide-area distributed computing resources, including for high performance computing (HPC) on collec...
Lei Xia, Zheng Cui, John R. Lange, Yuan Tang, Pete...
ICICS
2009
Springer
15 years 6 months ago
GUC-Secure Join Operator in Distributed Relational Database
Privacy-preserving SQL computation in distributed relational database is one of important applications of secure multiparty computation. In contrast with comparatively more works o...
Yuan Tian, Hao Zhang
DMIN
2008
176views Data Mining» more  DMIN 2008»
15 years 1 months ago
Multi-Class SVM for Large Data Sets Considering Models of Classes Distribution
Support Vector Machines (SVM) have gained profound interest amidst the researchers. One of the important issues concerning SVM is with its application to large data sets. It is rec...
Jair Cervantes, Xiaoou Li, Wen Yu
BMCBI
2007
115views more  BMCBI 2007»
14 years 11 months ago
A novel, fast, HMM-with-Duration implementation - for application with a new, pattern recognition informed, nanopore detector
Background: Hidden Markov Models (HMMs) provide an excellent means for structure identification and feature extraction on stochastic sequential data. An HMM-with-Duration (HMMwD) ...
Stephen Winters-Hilt, Carl Baribault